Merge pull request #1337 from meerakurup/patch-2

Update how-to-securely-attach-databricks.md

Author: prmerger-automator[bot]

articles/machine-learning/how-to-securely-attach-databricks.md

@@ -35,7 +35,7 @@ The information in this article assumes that your Azure Machine Learning workspa
 
 ## Limitations
 
-Scenarios where the Azure Machine Learning control plane needs to communicate with the Azure Databricks control plane are not supported. Currently the only scenario we have identified where this is a problem is when using the [DatabrickStep](/python/api/azureml-pipeline-steps/azureml.pipeline.steps.databricks_step.databricksstep) in a machine learning pipeline. To work around this limitation, allows public access to your workspace. This can be either using a workspace that isn't configured with a private link or a workspace with a private link that is [configured to allow public access](how-to-configure-private-link.md#enable-public-access).
+Scenarios where the Azure Machine Learning control plane needs to communicate with the Azure Databricks control plane are not supported. To work around this limitation, allows public access to your workspace. This can be either using a workspace that isn't configured with a private link or a workspace with a private link that is [configured to allow public access](how-to-configure-private-link.md#enable-public-access).
 
 ## Create a private endpoint for Azure Machine Learning
 
@@ -90,4 +90,4 @@ To allow Azure Databricks to communicate with the VNet that the Azure Machine Le
 
 ## Next steps
 
-* [Manage compute resources for training and deployment](how-to-create-attach-compute-studio.md)
+* [Manage compute resources for training and deployment](how-to-create-attach-compute-studio.md)